Data_engineer_pr

Softtek

Mexico, Mexico
On-site
Aws data pipeline
Aws glue
Redshift
Design data models and manage their lifecycle

Job Summary

  • Design data models and manage their lifecycle.
  • Ingest and transform data from multiple sources using services like AWS Glue and Kinesis.
  • Ensure data quality by applying validations and monitoring.

Matching Summary

Design data models and manage their lifecycle.

Skills & Requirements

Must-have

  • AWS Data Pipeline
  • AWS Glue
  • Redshift
  • Amazon S3
  • Python
  • Step Functions
  • EventGrid
  • DevOps
  • EMR (Spark/Hadoop)
  • Kinesis Data Streams
  • IAM
  • CloudWatch
  • Lake Formation

Nice-to-have

  • QuickSight visualization tools

Key Requirements

  • AWS proficiency
  • IaC management
  • Intermediate-High English (51-79%)

Work Rights

Not specified

Tailored Resume

Cover Letter